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    <title>mucomp</title>
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    <center>Scilab Function</center>
    <div align="right">Last update : 13/01/2005</div>
    <p>
      <b>mucomp</b> -  mu (structured singular value) calculation</p>
    <h3>
      <font color="blue">Calling Sequence</font>
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      <dd>
        <tt>[BOUND, D, G] = mucomp(Z, K, T)  </tt>
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      <font color="blue">Parameters</font>
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      <li>
        <tt>
          <b>Z</b>
        </tt>: the complex n-by-n matrix for which the structured singular value is to be computed</li>
      <li>
        <tt>
          <b>K</b>
        </tt>: the vector of length m containing the block structure of the uncertainty.</li>
      <li>
        <tt>
          <b>T</b>
        </tt>: the vector of length m indicating the type of each block. T(I) = 1 if the corresponding block is real T(I) = 2 if the corresponding block is complex.</li>
      <li>
        <tt>
          <b>BOUND</b>
        </tt>: the upper bound on the structured singular value.</li>
      <li>
        <tt>
          <b>D, G</b>
        </tt>: vectors of length n containing the diagonal entries of the diagonal matrices D and G, respectively, 
           such that the matrix <tt>
          <b> Z'*D^2*Z + sqrt(-1)*(G*Z-Z'*G) - bound^2*D^2 </b>
        </tt> is negative semidefinite.</li>
    </ul>
    <h3>
      <font color="blue">Description</font>
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    <p>
     To compute an upper bound on the structured singular value for a given square complex matrix and given block structure of the uncertainty.</p>
    <h3>
      <font color="blue">Reference</font>
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    <dl>
      <p>
    Slicot routine AB13MD.</p>
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